International Journal of Scientific Research and Engineering Development

The adoption of Artificial Intelligence for improving healthcare, nutrition planning, and personal wellness management is increasing rapidly in modern health applications. There are several challenges associated with traditional diet planning methods, including generic meal recommendations, lack of personalized nutrition guidance, difficulty in tracking calorie intake, inadequate hydration monitoring, and the inability to provide intelligent dietary assistance based on individual health goals. In this research, we introduce an AI-Powered Personalized Diet Planner that utilizes Artificial Intelligence, Machine Learning techniques, nutritional analytics, and mobile computing technologies to deliver customized diet recommendations. The proposed system analyzes user-specific parameters such as age, gender, height, weight, activity level, dietary preferences, and fitness goals to generate personalized meal plans and nutritional insights. Furthermore, the system incorporates calorie tracking, hydration monitoring, nutrition deficit analysis, meal recommendation mechanisms, and recovery planning features to assist users in maintaining a balanced and healthy lifestyle. The platform also provides real-time progress monitoring and intelligent dietary suggestions to improve user engagement and health outcomes.

Mrs.M.Vasuki, Dr.T.Amalraj Victoire, B.Barath,"AI-Powered Personalized Diet Planner for Intelligent Nutrition Management and Health Monitoring" International Journal of Scientific Research and Engineering Development, V9(3): Page(2009-2016) May-June 2026. ISSN: 2581-7175. www.ijsred.com. Published by Scientific and Academic Research Publishing.